Workera Team

Workera now brings the same verified skills intelligence enterprises already use to develop their people to the highest-stakes moment of all, the offer.

For years, hiring rested on signals you could mostly trust. A resume gives you a candidate’s history. A portfolio or work sample shows what they’d built. An interview filled in the rest. Together, they added up to a working theory of what someone could actually do.

In the AI era, those signals have collapsed. Resumes are AI-assisted. Coding samples are AI-generated. Portfolios are polished by the same tools every other applicant is using. What a candidate submits increasingly reflects their access to AI, not their actual capability. And it’s happening at exactly the moment when the highest-stakes roles, the AI, data, and engineering hires, are the ones you can least afford to get wrong.

‍

BY THE NUMBERS

74% of hiring managers have seen AI-generated content in candidate applications. (Resume Genius, 2026)
Only 25% of TA professionals feel highly confident measuring quality of hire, though 89% say it matters more than ever. (LinkedIn, 2025)
1.5–2× annual salary: the cost of a single technical mis-hire in lost time and replacement. (SHRM)

So talent acquisition leaders are left in a difficult spot: making the most expensive, most scrutinized decisions in the enterprise on signal they can no longer stand behind. Every team interviews differently. The skills library is thousands of rows deep and already out of date. And when legal, the board, or a regulator asks how a hiring decision was made, the honest answer is too often a shrug.

There’s a better question than “what does this candidate claim?” It’s “what can this candidate actually do?” And now you can answer it before you extend the offer.

From inference to verification

Most hiring tools still work by inference. They read a profile, match it against a job title, and produce a guess dressed up as a score. In a world where the inputs are themselves AI-generated, that’s inference built on inference, a guess about a guess.

Workera takes a different path. We measure. Using Evidence-Centered Design, candidates work through tasks that mirror the actual job, and our rubric-anchored, AI-native scoring turns their observed behavior into verified, skill-by-skill proficiency. The result isn’t a directional signal, it produces decision-grade evidence, the kind you can put in front of a hiring manager, a legal team, or the board.

Inference is a guess. Verification is evidence.

Built for high-stakes hiring

Workera for hiring isn’t a separate product to learn. It’s the same skills intelligence platform, configured for the integrity and defensibility that hiring demands. Set a program’s purpose to hiring, and four things come together automatically:

01 High-stakes program guardrails

One selection applies everything a defensible assessment needs: a neutral, evaluative tone; suppressed feedback and scores on the candidate side; and locked-down conditions, so recruiters don’t have to be psychometricians to develop a candidate assessment. Additionally, you can select assessments from Workera’s signature catalog, or create custom assessments leveraging Compose.

02 Transparent integrity controls

The integrity controls you configure align to the assessment and to your own policy on AI use, including copy/paste preferences, screen share and recording (on or off), in-assessment feedback required or not, and post assessment score views (on or off). They deter the obvious workarounds and capture an integrity record with every result, so you can stand behind the conditions each score was earned under, and show the work if anyone asks.

03 A candidate experience worth respecting

A low-friction journey: single sign-on, guided onboarding, clear expectations, and engaging, multi-modal questions that feel like real work. Top candidates respect rigor. The assessment becomes a brand asset, not a reason the best people drop out of your funnel.

04 Verified scores, pushed into to your ATS

Verified proficiency flows straight into the candidate profile in the system your recruiters already use. A skills receipt translates performance into a clear, skill-by-skill view, so hiring managers see exactly where a candidate is role-ready, and say yes faster on the right ones and no faster on the wrong ones.

One bar across the whole lifecycle

Because hiring runs on the same measurement engine Workera uses for development and internal mobility, the proficiency a candidate proves to get the offer doesn't disappear on day one. It becomes the baseline that accelerates their onboarding, focuses their growth, and surfaces their next move, and because it's role-specific and verified, it rolls up into a single, current picture of your workforce's capability and readiness. The bar a candidate clears to get hired is the same bar an employee clears to grow into the next role.

Most hiring tools are point solutions: the moment someone is hired, the data that got them there stops mattering. Workera works the other way, that same evidence becomes the first chapter of a much longer story. One trusted definition of capability, from applicant to alum.

That engine is already proven at scale: it has verified more than 180,000 skills for a single global professional services firm and benchmarked thousands of data scientists with role-specific proficiency. Now that same rigor sits at the point of hire.

SEE IT IN ACTION

Make hiring decisions based on what you know to be true, not what you think to be true.

Workera for high-stakes hiring is rolling out to enterprise customers now. See how verified proficiency works for your highest-stakes roles, and what it looks like inside your existing ATS.

→ Request a demo

‍